... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business ...
... audit-sensitive environments such as: - Healthcare claims - Finance back-office operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset ...
... techniques to NLP, time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... our SaaS and insurance operations. You will work closely with lead architects to implement scalable solutions and serve as a subject matter expert in SQL and database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert ...
... processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. Ensure data security, integrity, and compliance throughout the infrastructure. ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, integrity, and reliability, whilst adhering to data security best practices. Work closely with data analysts, and other stakeholders to understand data ...
We are seeking an experienced analyst with expertise in SAP Sales and Distribution processes, and a proven track record of working with SAP S/4, ECC and integration from legacy ERP systems. As a analyst of Sales and Distribution (SD), you will be responsible for supporting and optimizing technological solutions related ...
We are seeking an experienced analyst with expertise in SAP Sales and Distribution processes, and a proven track record of working with SAP S/4, ECC and integration from legacy ERP systems. As a analyst of Sales and Distribution (SD), you will be responsible for supporting and optimizing technological solutions related ...
... members. We are seeking experienced Data Engineering professionals with 4–6 years of hands-on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform (GCP). Key Skills & Experience: Strong programming skills in Python and Bash Solid understanding of SQL and data warehousing ...
... metrics, and documentation that agents and analysts can both rely https://jobeax.com/link/kjvyQnKLivXMBckK You'll Do :- Design and build production dbt models on Databricks that the organization uses as the source of truth for what's happening in the business.- Support external reporting with accurate, governed data that stakeholders ...
... Spark Streaming is a huge plus-our BPO operations move in real-time. - Infrastructure as Code (IaC): Comfort with Terraform or CloudFormation to manage your own data infrastructure. - In-Process Analytics (DuckDB): Proven experience using DuckDB for high-speed local development, unit testing data transformations, or as a query ...